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首页> 外文期刊>Nucleic acids research >DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections
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DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections

机译:DiseaseConnect:全面的Web服务器,用于基于机制的疾病-疾病连接

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The DiseaseConnect (http://disease-connect.org) is a web server for analysis and visualization of a comprehensive knowledge on mechanism-based disease connectivity. The traditional disease classification system groups diseases with similar clinical symptoms and phenotypic traits. Thus, diseases with entirely different pathologies could be grouped together, leading to a similar treatment design. Such problems could be avoided if diseases were classified based on their molecular mechanisms. Connecting diseases with similar pathological mechanisms could inspire novel strategies on the effective repositioning of existing drugs and therapies. Although there have been several studies attempting to generate disease connectivity networks, they have not yet utilized the enormous and rapidly growing public repositories of disease-related omics data and literature, two primary resources capable of providing insights into disease connections at an unprecedented level of detail. Our DiseaseConnect, the first public web server, integrates comprehensive omics and literature data, including a large amount of gene expression data, Genome-Wide Association Studies catalog, and text-mined knowledge, to discover disease–disease connectivity via common molecular mechanisms. Moreover, the clinical comorbidity data and a comprehensive compilation of known drug–disease relationships are additionally utilized for advancing the understanding of the disease landscape and for facilitating the mechanism-based development of new drug treatments.
机译:DiseaseConnect(http://disease-connect.org)是一个Web服务器,用于分析和可视化有关基于机制的疾病连接的综合知识。传统疾病分类系统将具有相似临床症状和表型特征的疾病分组。因此,可以将病理完全不同的疾病归为一类,从而实现相似的治疗设计。如果根据疾病的分子机制对疾病进行分类,则可以避免此类问题。将疾病与相似的病理机制联系起来,可以激发有关有效重新定位现有药物和疗法的新策略。尽管已有数项研究试图建立疾病连通性网络,但它们尚未利用疾病相关的组学数据和文献的庞大且快速增长的公共资源库,这两个主要资源能够以前所未有的详细程度洞察疾病的联系。我们的DiseaseConnect,第一个公共Web服务器,集成了全面的组学和文献数据,包括大量的基因表达数据,Genome-Wide Association Studies目录和文本挖掘的知识,以通过常见的分子机制发现疾病与疾病的联系。此外,临床合并症数据和已知药物-疾病关系的全面汇编还被用于增进对疾病状况的了解,并促进基于机制的新药物治疗的发展。

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